Kevin Quinn is a senior machine learning engineer with 15 years of experience building production ML systems across consumer products at Amazon, Meta, and now Discord. Trained with an M.Sc. in Computing Science from the University of Alberta, he specializes in NLP and recommendation problems, having shipped Smart Replies on Oculus with strong CTRs and led efforts to make LightConv generative and multi-task. His background spans applied science and software engineering—he built hundreds of logistic regression models for Amazon Payments and productionized query-rewriting models for Alexa—so he bridges research, modeling, and scalable engineering. An active contributor to open-source, he has full-stack experience on the widely used Review Board project, improving both UX and backend robustness. Based in Seattle, he combines rigorous academic foundations with a track record of pragmatic product impact and annotation-cost reduction strategies.
15 years of coding experience
10 years of employment as a software developer
Masters Computing Science, Masters Computing Science at University of Alberta
Bachelors Computing Science, Bachelors Computing Science at MacEwan University
An extensible and friendly code review tool for projects and companies of all sizes.
Role in this project:
Full-stack Developer
Contributions:5 commits in 6 months
Contributions summary:Kevin primarily contributed to the front-end and back-end aspects of the Review Board application. They implemented UI improvements, such as a user page and hover preview, as well as added a "Ship It!" button for one-click actions. They also addressed back-end issues, including invalid user/group warnings, and introduced features like collapsible reviews to improve the user experience and interface.
Contributions:5 pushes, 1 branch in 2 years 5 months
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Kevin Quinn - Senior Machine Learning Engineer at Discord